Maite Aramendía

Profesora Titular

Universidad de Zaragoza

Spain

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About

Maite Aramendía is a Profesora Titular at Universidad de Zaragoza Facultad de Ciencias, Spain. Her research focuses on the application of advanced spectrometry techniques, including single-particle ICP-mass spectrometry and high-resolution continuum source graphite furnace molecular absorption spectrometry. Recent publications include studies on the determination of boron isotopes, characterization of nanoparticles, and isotopic analysis for medical diagnostics.

Articles (17)

A new approach for the elemental and isotopic monitoring of boron via HR CS GFMAS is introduced.

Year:

2024

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2024

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2024

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2024

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2023

A new approach for the diagnosis of Wilson's disease based on ICP-MS analysis and machine learning is described.

Year:

2023

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2021

Year:

2021

Year:

2021

Year:

2020

Collaborators (7)

Paul Calès

Professor of Hepatology

FRANCE

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Javier Resano

Universidad de Zaragoza

SPAIN

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María Esperanza García Ruiz

Profesor Titular de Universidad

Universidad de Zaragoza

SPAIN

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Elisa Vereda Alonso

University of Malaga

SPAIN

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Christophe Pécheyran

Université de Pau et des Pays de l'Adour

FRANCE

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Martín Resano

Universidad de Zaragoza

SPAIN

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Nerea Bordel

University of Oviedo

SPAIN

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Maite Aramendía

Research Interests

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About

Articles (17)

Boron elemental and isotopic determination <i>via</i> the BF diatomic molecule using high-resolution continuum source graphite furnace molecular absorption spectrometry

Boron elemental and isotopic determination via the BF diatomic molecule using high-resolution continuum source graphite furnace molecular absorption spectrometry

Intensity- and time-based strategies for micro/nano-sizing via single-particle ICP-mass spectrometry: A comparative assessment using Au and SiO<sub>2</sub> as model particles

Tracing isotopically labeled selenium nanoparticles in plants via single-particle ICP-mass spectrometry

Cu fractionation, isotopic analysis, and data processing via machine learning: new approaches for the diagnosis and follow up of Wilson's disease via ICP-MS

Cu fractionation, isotopic analysis, and data processing <i>via</i> machine learning: new approaches for the diagnosis and follow up of Wilson's disease <i>via</i> ICP-MS

Isotope Dilution Analysis for Particle Mass Determination Using Single-Particle Inductively Coupled Plasma Time-of-Flight Mass Spectrometry: Application to Size Determination of Silver Nanoparticles

An Approach Based on an Increased Bandpass for Enabling the Use of Internal Standards in Single Particle ICP-MS: Application to AuNPs Characterization

A novel approach for adapting the standard addition method to single particle-ICP-MS for the accurate determination of NP size and number concentration in complex matrices

High-resolution continuum source graphite furnace molecular absorption spectrometry for the monitoring of Sr isotopes via SrF formation: a case study

Living in a transient world: ICP-MS reinvented via time-resolved analysis for monitoring single events

High-resolution continuum source graphite furnace molecular absorption spectrometry for the monitoring of Sr isotopes via SrF formation: a case study

Evaluation of electrothermal vaporization for sample introduction aiming at Cu isotopic analysis via multicollector-inductively coupled plasma mass spectrometry

An insight into the determination of size and number concentration of silver nanoparticles in blood using single particle ICP-MS (spICP-MS): feasibility of application to samples relevant to in vivo toxicology studies

Determination of Cu in blood via direct analysis of dried blood spots using high-resolution continuum source graphite furnace atomic absorption spectrometry

Laser ablation of microdroplets for copper isotopic analysis via MC-ICP-MS. Analysis of serum microsamples for the diagnosis and follow-up treatment of Wilson's disease

Breaking the boundaries in spectrometry. Molecular analysis with atomic spectrometric techniques

Collaborators (7)

Paul Calès

Javier Resano

María Esperanza García Ruiz

Elisa Vereda Alonso

Christophe Pécheyran

Martín Resano

Nerea Bordel

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